1 | Sludge
ID: 27751510 Tue, Oct 11, 2005, 17:25
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Assuming you know how to find normal probabilities of the form P(Z > a):
If X is the score of team 1 with mean m1 and standard deviation s1, and Y is the score of team 2 with mean m2 and standard deviation s2, we have a neat theorem that says that if X and Y are normal, then X-Y is also normal with mean m1-m2 and standard deviation sqrt(s1^2+s2^2). So P(X-Y>0) = P(Team 1 Wins) is equal to the following:
P(X-Y > 0) = P(Z > (m2-m1)/sqrt(s1^2+s2^2)), where Z~N(0,1).
P(X-Y<0) = P(Team 2 Wins) = P(Z < (m2-m1)/sqrt(s1^2+s2^2)), where Z~N(0,1).
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